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Osirix lite software

Manufactured by Pixmeo
Sourced in Switzerland

OsiriX Lite is a free DICOM image viewer software. It is designed to visualize and process medical images, such as those from CT, MRI, and PET scans.

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10 protocols using osirix lite software

1

Quantitative NMR and MRI Analysis

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T2 transverse relaxation data were measured by a MesoQMR23-060H NMR analyzer (Suzhou Niumag Analytical Instrument Co., Suzhou, China). The permanent magnet was kept at 32 °C with a 0.5 T magnetic field strength. A Carr–Purcell–Meiboom–Gill (CPMG) sequence with parameters including 90° pulses, 180° pulses, and π-value of 21.00 μs, 42.00 μs, and 200 μs was used to collect the relaxation decay data. After removing the surface water, the sample was placed in the 60-mm-diameter tube NMR probe and measured under 10,000 echoes with four scan repetitions. The inversion of the CPMG decay data was performed using MultiExp Inv analysis software (Suzhou Niumag Analytical Instrument Co., Suzhou, China) to obtain the T2 distributed curve as well as the relaxation parameters of different proton components.
MRI experiments were performed by the same MesoQMR23-060H NMR analyzer with spin echo (SE) imaging sequence. The scanning parameters of matrix size, field of view, and slice width were 256 mm × 196 mm, 100 mm × 100 mm, and 3 mm, respectively. The echo time (TE) and repetition time (TR) of the T1 weighted image were 40 ms and 660 ms, respectively, while that of the T2 weighted image were 40 ms and 3300 ms. The raw MRI images were processed using OsiriXLite software (v7.0.4, Pixmeo, Geneva, Switzerland) to obtain pseudo-color images and the corresponding intensities.
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2

Quantifying Muscle Characteristics from Imaging

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Trained analysts (one radiation oncologist, one radiologist) blinded to outcomes independently quantified total muscle CSA on an axial image at the level of the T8, T10, and T12 thoracic vertebral bodies under the supervision of board‐certified thoracic radiologists (F.J.F., C.P.H.). Analysts used semi‐automated threshold‐based segmentation (−29 to +150 Hounsfield units) as illustrated in Figure 2 and previously described.14 Analysts used OsiriX Lite software (version 11.0.3, Pixmeo SARL, Bernex, Switzerland) at MGH and the Syngo Volume tool (Siemens Healthineers) at HDB. Twenty‐five randomly selected subjects were assessed with both software packages to determine inter‐software agreement. Two additional sets of 25 randomly selected subjects (one set per institution) were compared with the same software to determine inter‐analyst agreement.
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3

Meat Water Mobility Measurement by NMR

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The transverse relaxation time (T2) was measured by an MesoMR23-060V-I NMR analyzer (Suzhou Niumag Analytical Instrument Corporation, Suzhou, China) with a permanent magnet having resonance frequency 21 MHZ at 32 °C. The fish meat sample was placed on a 60 mm diameter sample chamber for LF-NMR measurement. The Carr–Purcell–Meiboom–Gill (CPMG) decay signal was collected with pulses of 90° and 180° at 26 and 52 μs. The τ-value was set 200 μs and the number of echoes (NECH) was 8000 which were recorded in a sixteen repetition with repetition time 4500 ms. The relaxation curves M(t) were fitted by the following equation: M(t)=n=1NM0,nexp(tT2,n)+e(t)
where M(t) represents the residual magnetization at decay time t, M0,n is the magnitude parameter of the nth exponential, T2,n is the corresponding transverse relaxation time constant, and e(t) is the residual error [10 (link)].
The MRI images of samples were acquired on a MesoMR23-060V-I NMR analyzer too. T1 weighted images was recorded using spin-echo imaging sequence with field of view (FOV) of 100 mm × 100 mm, slice gap: 2.0 mm, slice width: 2.6 mm, offset slice: 26.4 mm, average: 2, phase size: 192 and read size: 256. The echo time (TE) was 20 ms and repetition time (TR) was 500 ms. OsiriXLite software (version 7.0.4, Pixmeo, Geneva, Switzerland) was used for analysis of the MRI images.
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4

Radiolabeled Antibody Imaging Protocols

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The averaged injection dose for [68Ga]Ga-NOTA-hu19V3, [18F]F-hu19V3, and [64Cu]Cu-NOTA-hu19V3 was 6.7 ± 1.3 MBq (n = 10), 1.7 ± 0.56 MBq (n = 4), and 5.5 ± 1.7 MBq (n = 4), respectively. For the blocking studies, the hu19V3 (1 mg/mouse) was administered to the mice 1 hour before tracer administration. The mice were anesthetized and placed in the prone position in the scanning bed 1 hour after tracer administration. PET/CT data were acquired in sequence with an IRIS PET/CT system (Inviscan Imaging Systems). The spatial resolution of the PET is ∼1 mm (CFOV), 1.3 mm (50 mm off-center). The spatial resolution of the CT is ∼70 μm @ 10% MTF. In the series studies, we used a 10-min acquisition protocol, 9 min for the PET acquisition, and 1 min for the CT acquisition. PET data were reconstructed using a non-scatter-corrected 3D-ordered subset expectation optimization/maximum a posteriori (OSEM3D/MAP) algorithm. The data were analyzed using OsiriX Lite software (Pixmeo SARL) and Inveon Research Workplace (Siemens Preclinical Solutions).
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5

Avian Anatomical Adaptations Evaluation

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To assess adaptations at the muscle level relative to gross anatomical modifications, we measured overall body mass, body composition and limb lengths. Birds were weighed every two weeks throughout the length of the protocol. Lower limb bone lengths (femur, tibiotarsus, and tarsometatarsus) were measured from planar radiographs (13 MP, Fischer Imaging Corp., Wheat Ridge, CO) using OsiriX Lite software (Pixmeo, Bernex, Switzerland). These three lengths were summed to obtain a combined lower limb length for each bird.
Dual X-ray absorptiometry (DXA; Horizon-W, Hologic, Marlborough, MA) was used to assess body composition in intact bird specimens. Birds were placed on the DXA table in a supine position with wings spread.
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6

Automated Cardiac MRI Volumetry Validation

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The results generated by our models were compared with the results from cvi42 (Circle Cardiovascular Imaging Inc) on our test set that included CMR images from 38 patients. All volumetric measures were calculated using OsiriX Lite software (Pixmeo, Bernex, Switzerland). To calculate the volume, small modifications were applied to the open source plugin available at https://github.com/chrischute/numpy2roi to make the format consistent with our dataset. The segmented CMR images were converted into OsiriX’s .roi files using the modified plugin. The resulted .roi files were imported to the OsiriX Lite software for volume calculation through its built-in 3D construction algorithm.
Our method was developed using the Python 2.7.12 and performed on a workstation with Intel(R) Core (TM) i7 − 5930 K CPU 3.50 GHz with four NVIDIA GeForce GTX 980 Ti GPUs, on a 64 − bit Ubuntu platform.
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7

Intracranial GBM xenograft model

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The effect of miR-3174 on in vivo tumor growth and survival was tested in an intracranial xenograft model. Briefly, GBM (U87) cells were transfected with pre-miR-3174 or pre-miR-scrambled control. After 24 h, the cells were collected, and 3 × 105 cells were stereotactically implanted in the striata of immunodeficient mice (n = 6 for miR-scrambled control group and n = 5 for pre-miR-3174). Brains were scanned with magnetic resonance imaging on a 7 Tesla Bruker/Siemens ClinScan small animal MRI on the 17th day after cell transplantation. Tumor volumes were quantified using OsiriX Lite software (Version 12.5.2, Pixmeo Sarl, Bernex, Switzerland).
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8

PET Imaging of Radioligand Biodistribution in Mice

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MicroPET imaging was performed on isoflurane-anesthetized mice injected intravenously via the lateral tail vein with around 3 MBq (2.5 nmol) of the radioligand at certain times. Regarding the FD1 blocking group, an excessive amount of unlabeled FD1 (200-fold) was simultaneously injected with [68Ga]Ga-DOTA-FD1 into the tail vein of another batch of mice. Images were acquired using an IRIS PET/CT system (Inviscan Imaging Systems). PET data were reconstructed using a nonscatter-corrected 3D-ordered subset expectation optimization/maximum a posteriori (OSEM3D/MAP) algorithm. The information was analyzed using OsiriX Lite software (Pixmeo SARL) and Inveon Research Workplace (Siemens Preclinical Solutions). The percentage of injected dose per gram of tissue (%ID/g, mean ± SD) was utilized to present the distribution of tracers in the ROI, encompassing tumor, heart, lung, liver, kidney, and muscle. The detailed values are shown in Table S1.
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9

Coronary Artery Blood Flow Evaluation

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Two independent observers in both centers trained in angiogram assessment and blinded to other clinical data, calculated BtAR. The definition and calculation method of BtAR was similar as reported in previous studies [17 (link)]. The measurements from both observers were then averaged to give the final result. The cTFC was defined as the number of frames required for contrast dye to reach the first standard distal coronary landmark and was evaluated using the technique described by Gibson et al. [16 (link)]. The difference between the postprocedural and preprocedural cTFC was evaluated to reflect the changes in coronary artery blood flow. Both preprocedural and postprocedural cTFC were examined directly before and after RA, respectively. All angiograms were registered at 12.5 frames/s. All disputable issues and disagreements were resolved by a third independent observer. The primary angiographic endpoint was defined as post-RA cTFC. The angiograms were analyzed using OsiriX Lite software (Pixmeo SARL) and CAAS QCA software (Pie Medical Imaging BV).
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10

Postmortem CT Imaging of Preserved Heart Specimens

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LHCs were extracted during autopsy and preserved in plastic containers (10 × 10 × 12 cm3) filled with 2% formaldehyde solution. The containers were fixed with tape to the table of a 64-row multidetector CT scanner (Optima CT 660, GE Healthcare Systems) and underwent a helical scan with a slice thickness of 0.625 (120 kV, 300 mA) at a recording speed of 10.62 mm/s and a pitch factor of 0.05 to prevent motion artifacts of the specimens within the fluid. Scan time, volume-weighted CT dose index (CTDIvol, mGy), and dose length product (DLP, mGy/cm) were recorded.
Multiplan reformations were calculated with a slice thickness of 0.7 mm using the “standard-soft-tissue” and the “bone-plus” kernel settings of the CT scanner’s workstation. Using the OsiriX Lite software (32-bit, version 5.8; Pixmeo SARL), the PMCT images were orthogradly adjusted and analyzed on an iMac (27 in., Mid 2011, OS X 10.9.3). The duration of the post-processing was recorded.
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